Organizational Intelligence and Computational Social Science

The welfare of organizations, and of the individuals who compose them, benefits from a computational science of culture, language and action.

Group Leader: Mark A. Hasegawa-Johnson
Support: Lisa Keating

The welfare of organizations, and of the individuals who compose them, benefits from a computational science of culture, language and action.

The Beckman Initiative on Organizational Intelligence and Computational Social Science (OICSS) seeks to develop systems and algorithms that can facilitate, orchestrate, and coordinate the participation of individuals to solve tasks of varying degrees of complexity, and mechanisms for modeling and reasoning about the expertise of such individuals. The National Academy of Engineering Grand Challenges, for example, include at least four challenges related to the flow of knowledge and belief in networks of intelligent individuals: “Advance Personalized Learning,” “Advance Health Informatics,” “Prevent Nuclear Terror,” and “Engineer the Tools of Scientific Discovery.” Solutions are likely to involve computational models of social organization, agents capable of delving such models in order to make themselves maximally useful, analytics capable of describing the knowledge and intentions of a crowd. Targeted big data analytic solutions should include human-centric tools enabling individuals to manage, make sense of, and extract value from large data sets.

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